Literatura científica selecionada sobre o tema "Pancancer"
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Artigos de revistas sobre o assunto "Pancancer"
Wong, Chi Chun, e Jun Yu. "Mapping the pancancer metastasis tumor microbiome". Cell 187, n.º 9 (abril de 2024): 2126–28. http://dx.doi.org/10.1016/j.cell.2024.03.040.
Texto completo da fonteKappmeier, Claudia, Sherina Edward, Corinna Hochstein, Ellen Inga Bruske, Francesca Di Pasquale e Ronny Kellner. "Abstract 1470: Advancing cancer research: A novel PanCancer digital PCR tool for simultaneous detection of multiple hallmark mutations in BRAF and EGFR". Cancer Research 84, n.º 6_Supplement (22 de março de 2024): 1470. http://dx.doi.org/10.1158/1538-7445.am2024-1470.
Texto completo da fonteLi, Fei, Jing Chen, Xiaoyan Zhang, Dongxiao Yang, Liang Xia, Dazhong Wang, Kai Jin et al. "Characterization of MET exon 14 skipping in pancancer." Journal of Clinical Oncology 40, n.º 16_suppl (1 de junho de 2022): e20530-e20530. http://dx.doi.org/10.1200/jco.2022.40.16_suppl.e20530.
Texto completo da fonteCheerla, Anika, e Olivier Gevaert. "Deep learning with multimodal representation for pancancer prognosis prediction". Bioinformatics 35, n.º 14 (julho de 2019): i446—i454. http://dx.doi.org/10.1093/bioinformatics/btz342.
Texto completo da fonteLiu, Kui, Jing Ma, Jiao Ao, Lili Mu, Yixian Wang, Yue Qian, Jin Xue e Wei Zhang. "The Oncogenic Role and Immune Infiltration for CARM1 Identified by Pancancer Analysis". Journal of Oncology 2021 (27 de outubro de 2021): 1–15. http://dx.doi.org/10.1155/2021/2986444.
Texto completo da fonteJiang, Aimin, Ye Zhou, Wenliang Gong, Xin Pan, Xinxin Gan, Zhenjie Wu, Bing Liu, Le Qu e Linhui Wang. "CCNA2 as an Immunological Biomarker Encompassing Tumor Microenvironment and Therapeutic Response in Multiple Cancer Types". Oxidative Medicine and Cellular Longevity 2022 (31 de março de 2022): 1–35. http://dx.doi.org/10.1155/2022/5910575.
Texto completo da fonteKarpova, Alla, Nadezhda V. Terekhanova, Siqi Chen, Reyka G. Jayasinghe, Andrew Houston, Wagma Caravan, Ryan C. Fields e Li Ding. "Abstract 2627: PanCancer epigenetic regulators of lymphocyte activation states". Cancer Research 84, n.º 6_Supplement (22 de março de 2024): 2627. http://dx.doi.org/10.1158/1538-7445.am2024-2627.
Texto completo da fonteJi, Haizhou, Mi Ren, Tongyu Liu e Yang Sun. "Prognostic and Immunological Significance of CXCR2 in Ovarian Cancer: A Promising Target for Survival Outcome and Immunotherapeutic Response Assessment". Disease Markers 2021 (19 de novembro de 2021): 1–21. http://dx.doi.org/10.1155/2021/5350232.
Texto completo da fonteCooper, Lee AD, Elizabeth G. Demicco, Joel H. Saltz, Reid T. Powell, Arvind Rao e Alexander J. Lazar. "PanCancer insights from The Cancer Genome Atlas: the pathologist's perspective". Journal of Pathology 244, n.º 5 (22 de fevereiro de 2018): 512–24. http://dx.doi.org/10.1002/path.5028.
Texto completo da fonteNorton, John T., Callie B. Pollock, Chen Wang, Julian C. Schink, J. Julie Kim e Sui Huang. "Perinucleolar compartment prevalence is a phenotypic pancancer marker of malignancy". Cancer 113, n.º 4 (15 de agosto de 2008): 861–69. http://dx.doi.org/10.1002/cncr.23632.
Texto completo da fonteTeses / dissertações sobre o assunto "Pancancer"
Pradat, Yoann. "Analyses of genomic and transcriptomic profiles of metastatic tumors from precision medicine clinical trials". Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASL010.
Texto completo da fonteIn the era of extensive data analysis, insights into cancer onset and progression have deepened through molecular analysis of numerous tumors globally. Next-generation sequencing, emerging in the 2000s, transformed cancer cell investigation by enabling exome, transcriptome, and now whole genome profiling. While high-throughput sequencing has not yet entered clinical pratice for all, it is commonly used in trials. The vast data pool thus generated fuels many research areas which contribute to precision oncology advancements. This thesis explores cancer patient cohort analysis and modern oncology tools. The first chapter covers cancer biology fundamentals, emphasizing molecular profiling's evolving role in treatment and research. The second chapter reviews computing tools and databases for sequencing data analysis. These chapters set the stage for the third chapter, focusing on the META-PRISM cohort, comprising 1,031 patients from precision medicine trials at Gustave Roussy. It highlights the molecular specificities of refractory and the promises of predictive modeling based on high-throughput sequencing data. The fourth chapter delves into known and emerging treatment resistance markers in the META-PRISM cohort and two recent clinical studies, revealing target alterations and alternative pathway activations as key resistance factors
Capítulos de livros sobre o assunto "Pancancer"
Mallona, Izaskun, Alberto Sierco e Miguel A. Peinado. "The Pancancer DNA Methylation Trackhub: A Window to The Cancer Genome Atlas Epigenomics Data". In Methods in Molecular Biology, 123–35. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7768-0_7.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Pancancer"
Lindgren, Caleb M., Chelsie Minor, Lindsey K. Olsen, Brittany Henderson, CPTAC Investigators e Samuel H. Payne. "Abstract 251: Data distribution for easy pancancer analysis". In Proceedings: AACR Annual Meeting 2021; April 10-15, 2021 and May 17-21, 2021; Philadelphia, PA. American Association for Cancer Research, 2021. http://dx.doi.org/10.1158/1538-7445.am2021-251.
Texto completo da fonteNiavarani, Ahmadreza, Asieh Shahrabi Farahani, Maryam Sharafkhah, Ludmil B. Alexandrov e Reza Malekzadeh. "Abstract 1319: Distinct pancancer mutational signatures are determined byAPOBEC/ADARaberrations". In Proceedings: AACR Annual Meeting 2020; April 27-28, 2020 and June 22-24, 2020; Philadelphia, PA. American Association for Cancer Research, 2020. http://dx.doi.org/10.1158/1538-7445.am2020-1319.
Texto completo da fonteNiavarani, Ahmadreza, Milad Bagheri, Joseph CF Ng, Franca Fraternali e Reza Malekzadeh. "Abstract 1318:APOBEC/ADARaberrations are potentially implicated in certain pancancer hypermutation patterns". In Proceedings: AACR Annual Meeting 2020; April 27-28, 2020 and June 22-24, 2020; Philadelphia, PA. American Association for Cancer Research, 2020. http://dx.doi.org/10.1158/1538-7445.am2020-1318.
Texto completo da fonteElkhanany, A., K. Takabe, T. Khoury, A. Omilian, D. Cheng, E. Katsuta, W. Davis et al. "Abstract P4-06-05: PanCancer profiling reveals population difference in breast cancer immune microenvironment". In Abstracts: 2018 San Antonio Breast Cancer Symposium; December 4-8, 2018; San Antonio, Texas. American Association for Cancer Research, 2019. http://dx.doi.org/10.1158/1538-7445.sabcs18-p4-06-05.
Texto completo da fonteZare, Fatima, Javad Noorbakhsh, Tianyu Wang, Jeffrey H. Chuang e Sheida Nabavi. "Integrative Deep Learning for PanCancer Molecular Subtype Classification Using Histopathological Images and RNAseq Data". In BCB '20: 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3388440.3412414.
Texto completo da fonteElmas, Abdulkadir, Pedro Molina-Sanchez, Serena Tharakan, Suraj Jaladanki, Tao Liu, Amaia Lujambio e Kuan-lin Huang. "Abstract LB-329: Pancancer proteomic investigation identifies overexpressed kinases as novel cancer dependent targets". In Proceedings: AACR Annual Meeting 2020; April 27-28, 2020 and June 22-24, 2020; Philadelphia, PA. American Association for Cancer Research, 2020. http://dx.doi.org/10.1158/1538-7445.am2020-lb-329.
Texto completo da fonteMongan, Ann, Warren Tom, Janice Au-Young, Aleksandr Pankov, Gauri Ganpule e Fiona Hyland. "Abstract 5363: Measuring gene expression at the tumor microenvironment: A comparison between nCounter PanCancer Immune Profiling Panel and Oncomine Immune Response Research Assay". In Proceedings: AACR Annual Meeting 2017; April 1-5, 2017; Washington, DC. American Association for Cancer Research, 2017. http://dx.doi.org/10.1158/1538-7445.am2017-5363.
Texto completo da fonteDennis, Lucas, Patrick Danaher, Maribeth Eagan, Andrew White, Nathan Elliot, Namratha Ram, Gayathri Balasundaram et al. "Abstract A49: Building a comprehensive view of tumor biology in breast cancer by combining NanoString's Prosigna assay with the Pancancer Pathways, Immune Profiling, and Progression Panels". In Abstracts: AACR Special Conference: Advances in Breast Cancer; October 17-20, 2015; Bellevue, WA. American Association for Cancer Research, 2016. http://dx.doi.org/10.1158/1557-3125.advbc15-a49.
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